A privacy technique that adds controlled statistical noise to limit what can be inferred about any individual record from an aggregate output. Differential privacy is discussed in privacy engineering, dataset release, and sometimes in training/evaluation contexts.
See: De-identification; Personal data; Privacy-enhancing technology